Title :
Tabu search in case-based reasoning
Author :
Li, Feng-gang ; Ni, Zhi-wei ; Yang, Yun
Author_Institution :
Sch. of Manage., Hefei Univ. of Technol., China
Abstract :
The successful design of case-based reasoning (CBR) systems depends chiefly on high-efficiency retrieval strategy of case library. In this paper, the author focuses on an original case retrieval approach using tabu search (TS) method. TS is a meta-heuristic approach designed skillfully for finding a suboptimal solution of combinational optimization problems. It is shown how this method can be used to speed up the case retrieval. The preliminary results obtained by our approach let us conclude that TS is a robust and promising technique to be applied into CBR.
Keywords :
case-based reasoning; optimisation; search problems; case retrieval approach; case-based reasoning; combinational optimization problems; metaheuristic approach; tabu search; Data engineering; Data mining; Energy management; Information management; Information retrieval; Information technology; Knowledge engineering; Power system management; Robustness; Technology management;
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
DOI :
10.1109/ICMLC.2004.1382157
